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Spatial Data Traversal in Road Map Databases: A Graph Indexing Approach.

J. Leon Zhao, Ahmed Zaki: Spatial Data Traversal in Road Map Databases: A Graph Indexing Approach. CIKM 1994: 355-362
@inproceedings{DBLP:conf/cikm/ZhaoZ94,
  author    = {J. Leon Zhao and
               Ahmed Zaki},
  title     = {Spatial Data Traversal in Road Map Databases: A Graph Indexing
               Approach},
  booktitle = {Proceedings of the Third International Conference on Information
               and Knowledge Management (CIKM'94), Gaithersburg, Maryland, November
               29 - December 2, 1994},
  publisher = {ACM},
  year      = {1994},
  pages     = {355-362},
  ee        = {db/conf/cikm/ZhaoZ94.html, http://doi.acm.org/10.1145/191246.191308},
  crossref  = {DBLP:conf/cikm/94},
  bibsource = {DBLP, http://dblp.uni-trier.de}
}
BibTeX

Abstract

Spatial data are found in geographic information systems such as digital road map databases where city and road attributes are associated with nodes and links in a directed graph. Queries on spatial data are expensive because of the recursive property of graph traversal. We propose a graph indexing technique to expedite spatial queries where the graph topology remains relatively stationary. Using a probabilistic analysis, this paper shows that the graph indexing technique significantly improves the efficiency of constrained spatial queries.

Copyright © 1994 by the ACM, Inc., used by permission. Permission to make digital or hard copies is granted provided that copies are not made or distributed for profit or direct commercial advantage, and that copies show this notice on the first page or initial screen of a display along with the full citation.


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Proceedings of the Third International Conference on Information and Knowledge Management (CIKM'94), Gaithersburg, Maryland, November 29 - December 2, 1994. ACM 1994
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